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lookout  

Leave One Out Kernel Density Estimates for Outlier Detection
View on CRAN: Click here


Download and install lookout package within the R console
Install from CRAN:
install.packages("lookout")

Install from Github:
library("remotes")
install_github("cran/lookout")

Install by package version:
library("remotes")
install_version("lookout", "0.1.4")



Attach the package and use:
library("lookout")
Maintained by
Sevvandi Kandanaarachchi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-12
Latest Update: 2022-10-14
Description:
Outlier detection using leave-one-out kernel density estimates and extreme value theory. The bandwidth for kernel density estimates is computed using persistent homology, a technique in topological data analysis. Using peak-over-threshold method, a generalized Pareto distribution is fitted to the log of leave-one-out kde values to identify outliers.
How to cite:
Sevvandi Kandanaarachchi (2021). lookout: Leave One Out Kernel Density Estimates for Outlier Detection. R package version 0.1.4, https://cran.r-project.org/web/packages/lookout. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.1.0 (2021-02-12 11:20), 0.1.2 (2022-08-26 10:00), 0.1.3 (2022-09-30 14:20)
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